JMbayes2
Extended Joint Models for Longitudinal and Time-to-Event Data
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6-0 |
rolling source/ R- | JMbayes2_0.6-0.tar.gz |
326.5 KiB |
0.6-0 |
rolling linux/jammy R-4.5 | JMbayes2_0.6-0.tar.gz |
1.0 MiB |
0.6-0 |
rolling linux/noble R-4.5 | JMbayes2_0.6-0.tar.gz |
1.0 MiB |
0.6-0 |
latest source/ R- | JMbayes2_0.6-0.tar.gz |
326.5 KiB |
0.6-0 |
latest linux/jammy R-4.5 | JMbayes2_0.6-0.tar.gz |
1.0 MiB |
0.6-0 |
latest linux/noble R-4.5 | JMbayes2_0.6-0.tar.gz |
1.0 MiB |
0.6-0 |
2026-04-23 source/ R- | JMbayes2_0.6-0.tar.gz |
326.5 KiB |
0.6-0 |
2026-04-09 windows/windows R-4.5 | JMbayes2_0.6-0.zip |
1.4 MiB |
0.5-2 |
2025-04-20 source/ R- | JMbayes2_0.5-2.tar.gz |
298.2 KiB |